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BOOM 💥💥 Professor Stephen Evans just told us that NONE of OpenSAFELY's data has been verified by its own authors. None of those patients may be real. It's the tip of the iceberg of the COVID observational study scam uncovered in #PennGate. Not one single paper from Oxford can... show more
10 条评论

@OpenSAFELY Joined the ped0s at blue sky and scrubbed Accts?

@OpenSAFELY Watch the video. All of: OHDSI Israel UK Opensafely data is now unverified Surgisphere level junk. That is nearly all the influential studies supporting the COVID vaccines and enabling the #3tablets killer protocols

@OpenSAFELY It’s unraveling at warp speed

@OpenSAFELY Keep doing what you're doing Jikky. Love your tenacity!

@OpenSAFELY Can of killer worms. Open safely

@OpenSAFELY This is looking like fraud rather than (only???) incompetence and dereliction of duty, then! Is this whole matter being pursued legally, or are people waiting to see what comes out of the USA? @Cyandeceres @denisrancourt @MakisMD

@OpenSAFELY @Cyandeceres @denisrancourt @MakisMD If Surgisphere was retracted and considered to be fraud because their data was not able to be verified by the authors, which is what happened, then all of @Opensafely's and @OHDSI's similar publications should be considered the same. #PennGate

20 Disturbing Facts about OpenSAFELY: Undermining Public Trust: 1. Unverified Data: Professor Stephen Evans admitted that none of OpenSAFELY's data has been verified by its own authors, which significantly undermines trust in the research outcomes. 2. Lack of Transparency: The data used in OpenSAFELY's studies is not accessible for public or independent verification, fostering skepticism about the integrity of the research. 3. Potential Fabrication: There's a suggestion that the patient data might not be real, which could mean that studies influencing public health decisions were based on fabricated or synthetic data. 4. Conflict of Interest: The involvement of institutions like LSHTM and Oxford, heavily financed by pharmaceutical companies, raises concerns about bias in research outcomes. 5. Misleading Public Health Advice: The studies allegedly influenced public health policy, suggesting treatments like genetic therapies for respiratory infections, which could be based on unverified data, leading to public mistrust. 6. Data Laundering Claims: Allegations that NHS data was sent to a Chinese company TPP for processing and returned without a way to verify its integrity, suggesting manipulation or alteration of data. 7. Publication in Prestigious Journals: Papers were published in reputable journals like The Lancet without proper data verification, which typically should ensure data integrity, thus eroding trust in academic publishing. 8. Contradictory Findings: Claims that the studies contradict publicly available data on antibiotic prescriptions during the pandemic, suggesting manipulation of results to fit a narrative. 9. Speed of Publication: The rapid publication process of these studies, which usually takes longer, implies a potentially rushed and possibly compromised review process. 10. Public Health Consequences: The implication that these studies led to the denial of effective treatments like antibiotics for pneumonia, resulting in fatalities, severely impacts public trust in medical research. Violating Laws: 1. Data Protection Breach: Sending NHS patient data to a foreign company without explicit consent or proper anonymization could violate GDPR or similar UK data protection laws. 2. Lack of Consent: Processing personal health data without patient consent, especially when the data is not fully anonymized, breaches confidentiality laws and patient rights to privacy. 3. Misuse of Public Funds: If the funding from Wellcome Trust and Gates Foundation was used to produce misleading or unverifiable research, this could be seen as a misuse of charitable funds meant for public good. 4. Non-Compliance with Research Ethics: Failing to obtain ethical approval for data handling practices, especially when data is used for research purposes, violates research ethics guidelines. 5. Breach of Trust in Healthcare: The alleged manipulation of health data to support pharmaceutical interests over patient welfare could be seen as a breach of trust in the healthcare system's ethical standards. 6. Potential Fraud: Presenting unverified or potentially fabricated data as legitimate in scientific studies could constitute scientific fraud, especially when this data influences public health decisions. 7. Violation of Public Health Regulations: If studies influenced policy decisions without proper data validation, this could violate public health regulations requiring evidence-based decision-making. 8. Ignoring Opt-Out Requests: If patients who had opted out of having their data used for research found their data included in OpenSAFELY studies, this would violate patient consent protocols. 9. Misrepresentation in Legal Testimony: The admission in court about the lack of verification could imply misrepresentation if this was not disclosed in earlier legal or public health contexts. 10. Negligence in Data Handling: The handling of data in a manner that could not ensure its integrity or authenticity could be considered negligent, potentially violating professional standards in data management and research.

@OpenSAFELY why does this video look fake though? 👀

@OpenSAFELY Speak to the UK government about that.
